Mechanism Analysis of Parasitic Torque in Electric Loading Systems

Authors

• Xiaozhe Sun, School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
• Zhenyu Fu, School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
• Zhaoke Xu, School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
• Jianxin Li, School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China

Abstract

Abstract: To address the issues of sources and mechanisms of parasitic torque in electric loading systems for aircraft actuator loads, a functional model of the electric loading system was established. Numerical simulations and Monte Carlo methods were employed to analyze the sources of parasitic torque and its primary influencing factors. The influence mechanisms and degrees of the system's external inputs and internal disturbances on parasitic torque were analyzed and validated through single-parameter and multi-parameter analyses. The results indicate that parasitic torque is predominantly influenced by factors such as loading command frequency, sensor signal bias, and loading motor parameters. In particular, the loading command frequency has the most significant effect on parasitic torque; a 10% change in loading command frequency causes a variation in parasitic torque at least 124 times greater than that caused by other factors.

Recommended Citation

Sun, Xiaozhe; Fu, Zhenyu; Xu, Zhaoke; and Li, Jianxin (2026) "Mechanism Analysis of Parasitic Torque in Electric Loading Systems," Journal of System Simulation: Vol. 38: Iss. 4, Article 13.
DOI: 10.16182/j.issn1004731x.joss.25-0228
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/13

First Page

1018

Last Page

1029

CLC

TP391.9; TM383.4

Recommended Citation

Sun Xiaozhe, Fu Zhenyu, Xu Zhaoke, et al. Mechanism Analysis of Parasitic Torque in Electric Loading Systems[J]. Journal of System Simulation, 2026, 38(4): 1018-1029.

Corresponding Author

Xu Zhaoke

DOI

10.16182/j.issn1004731x.joss.25-0228